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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Effortlessly transition your data, schemas, and objects from various sources to the cloud on a large scale. The Azure Database Migration Service serves as a helpful tool designed to streamline, direct, and automate your migration process to Azure. You can transfer your database alongside server objects, which encompass user accounts, agent jobs, and SQL Server Integration Services (SSIS) packages in one go. This service facilitates the migration of your data to Azure from popular database management systems. Whether you are transitioning from a local database or another cloud provider, the Database Migration Service accommodates essential migration scenarios for SQL Server, MySQL, PostgreSQL, and MongoDB. By leveraging PowerShell, you can save both time and effort in automating your migration to Azure. Additionally, the Database Migration Service is compatible with PowerShell cmdlets, enabling the automatic migration of multiple databases in one operation. This means you can efficiently manage migrations to Azure not only from on-premises but also from other cloud environments, ensuring a seamless transition for all your database needs.

Description

MongoQUI serves as a comprehensive MongoDB workspace tailored for developers, database administrators, and analysts, accessible as a desktop application on Windows, macOS, and Linux, as well as via a web browser. It seamlessly connects to various MongoDB deployments, including Atlas and self-hosted clusters, and offers versatile document browsing options in table, tree, and JSON formats. Furthermore, it includes advanced features such as query editing, visual query and aggregation builders, schema inspection, along with tools for managing databases, collections, and indexes. Depending on the subscription level, users gain the ability to edit documents, track query history, save queries, and perform data imports or exports in JSON, CSV, and Excel formats. An innovative schema-aware AI assists in drafting queries efficiently. Additionally, a robust report builder transforms query results into visually appealing charts and dashboards, which can be refreshed and shared through secure links. Team plans enhance the experience by providing shared connections, role-based access controls, organization management, two-factor authentication, and detailed audit logs. Overall, MongoQUI is designed to facilitate both individual and collaborative workflows, with features tailored to meet the needs of different user plans, ensuring a versatile and efficient working environment for all users.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS) Yes 
Azure Data Studio Yes 
Azure Marketplace Yes 
Azure SQL Database Yes 
Azure Virtual Machines Yes 
Google Cloud Platform Yes 
Microsoft Azure Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
PowerShell Yes 
RadiantOne Yes 
SQL Server Yes 
SSIS Yes 

Integrations

Amazon Web Services (AWS) No 
Azure Data Studio No 
Azure Marketplace No 
Azure SQL Database No 
Azure Virtual Machines No 
Google Cloud Platform No 
Microsoft Azure No 
MongoDB No 
MySQL No 
PostgreSQL No 
PowerShell No 
RadiantOne No 
SQL Server No 
SSIS No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$119
Free plan for individuals, with one saved connection and no time limit. Basic starts at $119 per seat, billed yearly. A 30-day trial is available for paid plans when the first purchase is a single seat; a payment method is required, and no subscription fee is charged if canceled before the trial ends.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/database-migration/

Vendor Details

Company Name

Fahid Digital Ventures

Founded

2024

Country

United Arab Emirates

Website

www.mongoqui.com

Product Features

Product Features

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